Potential Markers of Tongue Tumor Progression Selected by cDNA Micro Array

Author:

Carinci F.,Lo Muzio L.1,Piattelli A.2,Rubini C.3,Chiesa F.4,Ionna F.5,Palmieri A.6,Maiorano E.7,Pastore A.8,Laino G.9,Favia G.10,Dolci M.2,Pezzetti F.6

Affiliation:

1. Department of Surgical Sciences, University of Foggia, Italy

2. Department of Dental Sciences, University of Chieti, Italy

3. Institute of Pathology, University of Ancona, Italy

4. Department of Head and Neck Surgery, Istituto Europeo di Oncologia, Milano

5. Department of Head and Neck Surgery, Istituto Pascale, Napoli

6. Department of Histology, Embryology and applied Biology and Center of Molecular Genetic, CARISBO Foundation, University of Bologna, Italy

7. Department of Pathology, University of Bari, Italy

8. ENT Clinic, University of Ferrara, Italy

9. Dental Clinic, Second University of Napoli, Italy

10. Department of Dental Sciences and Surgery, University of Bari, Italy

Abstract

Squamous cell carcinoma (SCC), the most frequent malignant tumor of the oral cavity, generally exhibits a poor prognosis and metastases are the main cause of death. This tumor often arises from pre-malignant lesions. To date, it is difficult to predict if and which pre-malignant lesions may progress into oral SCC using traditional methods. For these reasons, several studies are trying to identify markers useful in the progression of pre-malignant lesions and tumors. To define the genetic expression profile of tongue tumor progression we compared 9 dysplasias (DS), 8 tumors without metastasis (TWM), 11 metastasizing SCCs (MT) of the tongue, and a baseline of 11 normal tissues by using cDNA microarray containing 19.2 K clones. We initially applied hierarchical agglomerative clustering based on information from all 6026 clones. Results were obtained by performing a two steps analysis: a Significance Analysis of Microarray (SAM) and a Gene Ontology search. One hundred and five clones have statistically significant different expression levels (FDR <0.01) between DS and TWM, whereas 570 genes have statistically significant difference expression levels between TWM and MT (FDR <0.01) as detected by SAM. By filtering with FatiGo only 33 genes were differentially expressed in TWN, respect to DS, whereas 155 genes were differentially expressed in MT respect to TWM. We detected some genes which encode for oncogenes, transcription factors and cell cycle regulators as potential markers of DS progression. Examples are BAG4, PAX3 and CCNI, respectively. Among potential markers of metastases are some genes related to cell mobility (TSPAN-2 and SNTA1), intercellular adhesion (integrin alpha 7) or extracellular matrix components (ADAMTS2 and cathepsin O). Additionally, under-expressed genes encoded apoptosis-related proteins (PDCD4 and CASP4). In conclusion, we identified several genes differentially expressed in tumor progression which can potentially help in better classifying premalignant lesions and tongue SCCs.

Publisher

SAGE Publications

Subject

Pharmacology,Immunology,Immunology and Allergy

Cited by 49 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3